n8n vs Make: Which One for Production?
n8n-io/n8n has a staggering 180,218 stars and 55,981 forks on GitHub, while Make (formerly Integromat) does not have a public open-source repo to compare directly. However, stars and forks don’t send you alerts or automate business-critical workflows. So, when it comes to deploying automation on your production environment,
Hey everyone, Riley here, back at agntkit.net!
Today, I want to talk about something that’s been on my mind a lot lately, especially as I’ve been trying to streamline my own workflows. We hear terms like “toolkit,” “library,” “package,” and “resource” thrown around pretty interchangeably in our line of work. But there’s one word that,
FastAPI vs Hono: Which One for Startups
FastAPI is batting at a remarkable 96,375 GitHub stars. Hono, on the other hand, doesn’t even come close in terms of popularity. But popularity doesn’t always mean it’s the best tool for the job. As a developer with over five years in the field, I’ve seen firsthand how
How to Set Up Logging with Ollama: A Step-by-Step Guide
If you’re fed up with generic logging solutions and want a tailored approach, setting up logging with Ollama is the way to go. With Ollama’s GitHub repo boasting 165,618 stars, it’s clear that developers are rallying around this framework. However, if you skim through typical
Agent Memory Design Checklist: 10 Things Before Going to Production
I’ve seen 3 production agent deployments fail this month. All 3 made the same 5 mistakes regarding memory design. This isn’t just a coincidence; the agent memory design checklist is a fundamental step many developers overlook. When you’re working with agents that need to remember
How to Add Streaming Responses with Claude API (Step by Step)
Streaming responses with the Claude API can dramatically enhance user experiences in real-time applications. Do you want an interactive chat interface that provides outputs as they happen? If so, you’re in the right place. In this article, we’ll build an application that integrates the
10 RAG Pipeline Design Mistakes That Cost Real Money
I’ve seen 10 production agent deployments fail this month alone. All 10 made the same RAG pipeline design mistakes that can easily cost time and money. If you’re not careful, you might as well burn your budget in one go. Mistakes in the Retrieval-Augmented Generation (RAG)
Deploying to Production with Qdrant: A Step-by-Step Guide
We’re deploying an AI-powered search engine using Qdrant that enables fast, efficient retrieval of high-dimensional data, making it a critical piece of modern applications. If you’re considering using Qdrant for production, you’re making a smart choice; with 29,663 stars on GitHub and a solid foundation from its
Hey everyone, Riley here, back on agntkit.net. It’s March 19th, 2026, and I’ve been wrestling with a concept lately that I think many of you, especially those building or managing internal tools, will appreciate. We talk a lot about “toolkits” on this site – what they are, how to build them, why they matter. But
A practical guide to choosing AI toolkits, SDKs, and agent frameworks in 2026 — with actionable tips and real code examples.